Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget ICLR 2025 SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation IJCAI 2025 SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM AAAI 2025 SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images ICML 2025 SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation NAACL 2025 SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model NAACL 2025 SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking IJCAI 2025 Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness ICML 2025 Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion ICML 2025 Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025 Stability and List-Replicability for Agnostic Learners COLT 2025 Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025 Stabilized Neural Prediction of Potential Outcomes in Continuous Time ICLR 2025 Stabilizing Sample Similarity in Representation via Mitigating Random Consistency ICML 2025 Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025 Stable Fair Graph Representation Learning with Lipschitz Constraint ICML 2025 Stable learning using spiking neural networks equipped with affine encoders and decoders JMLR 2025 StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling AISTATS 2025 Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓ_p-Smooth Nonconvex Optimization ICML 2025 Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection SemEval 2025 STAR: Spectral Truncation and Rescale for Model Merging NAACL 2025 STAR: Stability-Inducing Weight Perturbation for Continual Learning ICLR 2025 STAR: Strategy-Aware Refinement Module in Multitask Learning for Emotional Support Conversations ACL 2025 Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods ICLR 2025